≈ $1,600
- Battery capacity 90 Wh vs 54 Wh
- SSD (up to) 8,000 GB vs 2,048 GB
- GPU power (TGP) 140 W vs 105 W
- 3DMark Steel Nomad Light 10,820 vs 12,954
- Weight 2.6 kg vs 2.25 kg
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- Gaming laptops
- MSI Sword 15 RTX 4070 (2023)
- Alternatives
Alternatives to MSI Sword 15 RTX 4070 (2023)
10 gaming laptops at a similar price that compete with the Sword 15 RTX 4070 (2023) — what each does better, what it gives up and how the price compares.
Alternatives to the Sword 15 RTX 4070 (2023)
≈ $6,800
- Battery capacity 90 Wh vs 54 Wh
- GPU compute (FP32) 33.9 TFLOPS vs 18.2 TFLOPS
- GPU power (TGP) 150 W vs 105 W
- Weight 2.3 kg vs 2.25 kg
- Advanced Optimus
≈ $3,700
- Battery capacity 83 Wh vs 54 Wh
- Video memory 32 GB vs 8 GB
- GPU power (TGP) 145 W vs 105 W
- RAM (up to) 32 GB vs 64 GB
- SSD (up to) 1,000 GB vs 2,048 GB
- Battery capacity 76 Wh vs 54 Wh
- CPU cores 16 vs 8
- SSD (up to) 4,096 GB vs 2,048 GB
- 3DMark Steel Nomad Light 7,896 vs 12,954
- GPU compute (FP32) 12.1 TFLOPS vs 18.2 TFLOPS
- Battery capacity 76 Wh vs 54 Wh
- CPU cores 16 vs 8
- SSD (up to) 4,096 GB vs 2,048 GB
- 3DMark Steel Nomad Light 12,420 vs 12,954
- Upgradable RAM
- Battery capacity 76 Wh vs 54 Wh
- CPU cores 16 vs 8
- SSD (up to) 4,096 GB vs 2,048 GB
- GPU compute (FP32) 13.8 TFLOPS vs 18.2 TFLOPS
- 3DMark Steel Nomad Light 10,095 vs 12,954
- Resolution class QHD (1440p/1600p) vs Full HD (1080p/1200p)
- Brightness 600 nits vs 300 nits
- Thunderbolt or USB4
- GPU power (TGP) 80 W vs 105 W
- GPU compute (FP32) 11.6 TFLOPS vs 18.2 TFLOPS
≈ $4,200
- Battery capacity 99 Wh vs 54 Wh
- SSD (up to) 16,000 GB vs 2,048 GB
- GPU power (TGP) 140 W vs 105 W
- RAM (up to) 32 GB vs 64 GB
- Weight 2.8 kg vs 2.25 kg
- Battery capacity 90 Wh vs 54 Wh
- SSD (up to) 4,096 GB vs 2,048 GB
- Thunderbolt or USB4
- 3DMark Steel Nomad Light 5,468 vs 12,954
- GPU compute (FP32) 7.9 TFLOPS vs 18.2 TFLOPS
- Battery capacity 80 Wh vs 54 Wh
- GPU power (TGP) 140 W vs 105 W
- Resolution class QHD (1440p/1600p) vs Full HD (1080p/1200p)
- 3DMark Steel Nomad Light 10,487 vs 12,954
- GPU compute (FP32) 16 TFLOPS vs 18.2 TFLOPS